11 papers
Diffusion Path Alignment for Long-Range Motion Generation and Domain Transitions
Haichao Wang, Alexander Okupnik, Yuxing Han +3
Long-range human movement generation remains a central challenge in computer vision and graphics. Generating coherent transitions across semantically distinct motion domains remain…
Generative human motion mimicking through feature extraction in denoising diffusion settings
Alexander Okupnik, Johannes Schneider, Kyriakos Flouris
Recent success with large language models has sparked a new wave of verbal human-AI interaction. While such models support users in a variety of creative tasks, they lack the embod…
Operator Flow Matching for Timeseries Forecasting
Yolanne Yi Ran Lee, Kyriakos Flouris
Forecasting high-dimensional, PDE-governed dynamics remains a core challenge for generative modeling. Existing autoregressive and diffusion-based approaches often suffer cumulative…
A purely Quantum Generative Modeling through Unitary Scrambling and Collapse
Yihua Li, Jiayi Chen, Tamanna S. Kumavat +1
Quantum computing offers fundamentally more expressive mechanisms for generative modeling, yet current approaches remain constrained by classical neural components that bottleneck…
Hyperbolic Optimization
Yanke Wang, Kyriakos Flouris
This work explores optimization methods on hyperbolic manifolds. Building on Riemannian optimization principles, we extend the Hyperbolic Stochastic Gradient Descent (a specializat…
Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI
Kyriakos Flouris, Moritz Halter, Yolanne Y. R. Lee +6
Hemodynamic analysis is essential for predicting aneurysm rupture and guiding treatment. While magnetic resonance flow imaging enables time-resolved volumetric blood velocity measu…